{"id":"W2134769761","doi":"10.2514/6.2011-6263","title":"Assessment of an Automated Touchdown Detection Algorithm for the Orion Crew Module","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Crew; Touchdown; Computer science; Algorithm; Real-time computing; Simulation; Engineering; Aeronautics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023452,0.00014295,0.0001998015,0.00003614087,0.0001111886,0.00003378632,0.0001177395,0.00008532341,0.000004662826],"category_scores_gemma":[0.000009846913,0.0001147973,0.00003675691,0.0001160126,0.00004690529,0.000166047,0.000006189514,0.00007960207,7.099409e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002976597,"about_ca_system_score_gemma":0.00002672176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001811658,"about_ca_topic_score_gemma":0.0000334854,"domain_scores_codex":[0.9992869,0.00002555441,0.0002638864,0.0001542691,0.0001032234,0.0001661862],"domain_scores_gemma":[0.9994232,0.00005625016,0.00006629431,0.0002158966,0.0001900173,0.00004832768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007246906,0.0001685181,0.004092937,0.0007341793,0.0009388186,0.00000388037,0.00260982,0.1594755,0.1504734,0.03166094,0.0003729881,0.6493965],"study_design_scores_gemma":[0.0006933628,0.00009533989,0.04454507,0.00006927181,0.00004106311,0.000003076267,0.0001295233,0.9483562,0.005264926,0.0002175624,0.0004579112,0.0001267047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133943,0.0003903353,0.8844889,0.000009672554,0.0004717071,0.0002799582,0.00001863263,0.0004034649,0.0005430115],"genre_scores_gemma":[0.9954767,0.0000496376,0.00410993,0.000009872807,0.00007537361,0.0001883157,0.00001188062,0.00002035243,0.0000578854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8820825,"threshold_uncertainty_score":0.4681299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118322683368115,"score_gpt":0.2341160532620518,"score_spread":0.2222837849252403,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}